NATIONAL CANCER INSTITUTE - CANCER.GOV

Core Resources

Bioinformatics Biostatistics and Computing

NCI Advanced Biomedical Computational Science (ABCS)
Frederick, MD

Core

Services Offered
Training Opportunities

The Advanced Biomedical Computational Sciences (ABCS) group provides technology development, scientific consultation, collaboration and training, research, software development, and high-performance computing support. ABCS encompasses specialized groups focusing on machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, bioinformatic analysis of omics data, and other applications of computational and data science. In addition, ABCS offers access to databases and software resources for bioinformatics, image a… [learn more]

Director: Uma Mudunuri
Email: uma.mudunuri@nih.gov
Phone: (301) 846-6774
NCI Genomics and Pharmacology Facility
Bethesda, MD

Core

Training Opportunities

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase the understanding of the effect of those interactions on the chemosensitivity of cancer, and create tools that will facilitate that process. Translation of that information will be directed towards the recognition of diagnostic and therapeutic cancer biomarkers and directed cancer therapy Established Technologies: The Miner Suite of Bioinformatic Ap… [learn more]

Manager: William Reinhold
Email: wcr@mail.nih.gov
Phone: (240) 760-7339
Statistical Support at ABCS
Frederick, MD

Core

Services Offered
Training Opportunities

The centrally funded Statistics team within the Advanced Biomedical Computational Science group at the Frederick National Lab provides statistical consultation and data analysis support for NCI laboratories. We have broad-range expertise in biomedically relevant areas of applied and computational statistics, as well as related subjects. The team can help with both advanced and standard statistical analyses. These include data-sample comparisons (such as pairwise comparisons and ANOVA), linear or nonlinear regression, linear or nonlinear mixed-effects modeling, survival analysis, power and samp… [learn more]

Sr. Principal Computational Scientist: Brian Luke
Email: brian.luke@nih.gov
Phone: (301) 846-5553